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MiRACLe: an individual-specific approach to improve microRNA-target prediction based on a random contact model.
Wang, Pan; Li, Qi; Sun, Nan; Gao, Yibo; Liu, Jun S; Deng, Ke; He, Jie.
Afiliación
  • Wang P; Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Li Q; Center for Statistical Science & Department of Industry Engineering, Tsinghua University, Beijing, China.
  • Sun N; Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Gao Y; Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Liu JS; Department of Statistics, Harvard University, Cambridge, MA, USA.
  • Deng K; Center for Statistical Science & Department of Industry Engineering, Tsinghua University, Beijing, China.
  • He J; Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Brief Bioinform ; 22(3)2021 05 20.
Article en En | MEDLINE | ID: mdl-34020537
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Regulación de la Expresión Génica / Bases de Datos de Ácidos Nucleicos / MicroARNs / Transcriptoma / Modelos Genéticos Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Regulación de la Expresión Génica / Bases de Datos de Ácidos Nucleicos / MicroARNs / Transcriptoma / Modelos Genéticos Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: China